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A System to Construct an Interest Model of User Based on Information in Browsed Web Page by User

  • Kosuke Kawazu
  • Masakazu Murao
  • Takeru Ohta
  • Masayoshi Mase
  • Takashi Maeno
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5612)

Abstract

In these days, they expect that computers comprehend characteristics of the user, for example interest and liking, to interact with computers. In this study, we constructed a system to construct an interest model of the user based on information in browsed Web pages by the user by extracting words and interword relationships. In this model, metadata is appended to words and interword relationships. Kinds of metadata of words are six, personal name, corporate name, site name, name of commodity, product name and location name. And metadata of interword relationships is prepared to clarify relationships of these words. This system makes a map by visualizing this model. And this system has functions to zoom and modify this map. We showed efficacy of this system by using evaluation experiment.

Keywords

Occurrence Rate Concordance Rate Word Examinee Evaluation Item Content Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Kosuke Kawazu
    • 1
  • Masakazu Murao
    • 2
  • Takeru Ohta
    • 3
  • Masayoshi Mase
    • 3
  • Takashi Maeno
    • 2
  1. 1.Graduate School of System Design and ManagementKeio UniversityYokohamaJapan
  2. 2.Graduate School of System Design and ManagementKeio UniversityJapan
  3. 3.Keywalker. Inc Email: do-my-best@a6.keio.jpTokyoJapan

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